Hu Chen, Hongwei Li, Leilei Ma, Rupeng Liang, Bowei Wen
{"title":"Construction method of geomorphologic classification knowledge base based on ontology","authors":"Hu Chen, Hongwei Li, Leilei Ma, Rupeng Liang, Bowei Wen","doi":"10.1109/GEOINFORMATICS.2011.5981186","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981186","url":null,"abstract":"In order to solve the existent problem of complexity of classification standard and inconstancy of combining geomorphologic factors in geomorphologic classification system, a Geomor-Onto(geomorphology ontology) is built up to describe complicated geomorphy classification problem. With the formal analysis to the semanteme of geomorphic conception, this paper proposes a logic structure of Geomor-Onto and establishes a ontology model. After analyzing the type and source of geomorphic classification knowledge, we built a GCKB (Geomorphologic Classification Knowledge Base), which includes factual base, rule base and image database. In the end, a test is performed by using knowledge acquired form the GCKB and DEM dataset of China, and the results testify the value of this technique.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116970559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Point burning dynamical trajectory algorithm in simple polygon","authors":"Yunhui Zhang, Mangtun Gao, Jianjun Wu, Yan Zhang","doi":"10.1109/GEOINFORMATICS.2011.5981187","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981187","url":null,"abstract":"A model of Polygon Circle is proposed to simulate the dynamic burning trajectories in a polygonal pasture. Several technologies are used to achieve this algorithm in this paper. They are: (1) The computing for the minimum and maximum distance of a viewpoint to a vector line. (2) Total 17 kinds of locations for the position relationships of a circle to vector lines. (3) The definition for IntoPoint and OutPoint, and the count of both points are also used to judge whether drawing an arc. (4) The visible division and the deep visible division for a polygon. (5) The shortest path and its expansion. This algorithm can achieve such things that drawing the burning trajectories at different times, computing the burning times in different positions, estimating the longest distance and the longest time of burning. This algorithm is stabile by VC++ programming testing.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Land use/cover change study of Lianyungang coastal zone based on remote sensing","authors":"Hongquan Xie, Yanyan Zhang, Xia Lu","doi":"10.1109/GEOINFORMATICS.2011.5980832","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980832","url":null,"abstract":"Using 1987, 2000, and 2009 three TM/ETM images of Lianyungang in Jiangsu, China, combined with the actual situation of the study area to determine land use classification systems, the use of interactive interpretation method to generate land use/cover classification map. Complete overlay analysis using ArcGIS, select the index model of land use/cover change analysis of characteristics. The results showed that: 22 years within the study area filling sea land, building land, the area of aquaculture has increased in varying degrees, and brine pan, sea area, arable land area has a different degree of reduction.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133927345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Warn Notice Toolbox: Open-source geovisualization of large layoff events data","authors":"X. Ye, M. Carroll","doi":"10.1109/GEOINFORMATICS.2011.5981136","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981136","url":null,"abstract":"Developed using the Python object-oriented scripting language, Warn Notice Toolbox is an open-source package designed for the exploratory visualization of unemployment events recorded by the PDF files of warn-notices. The goal is the visual representation of large-scale collections of both non-numerical and numerical information in a GIS environment. This article presents an outline of the design and structure of Warn Notice Toolbox, its implementation, functionality, and future plans. A group of its visualization capabilities are also illustrated, which highlight the power and flexibility of the toolbox through a case study of downloaded WARN Notices from 1996 to 2010. These notices are provided by employers to the Ohio Department of Job and Family Services, Bureau of WIA, Rapid Response Section. This toolbox demonstrates its potentials by identifying the patterns and trends of economic downturn in Ohio.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rujie Duan, Shanqin Wang, Hongyu Zhang, Zhiqiao Yang
{"title":"Citrus pest forecasting and decision-making system base on geo-ontology","authors":"Rujie Duan, Shanqin Wang, Hongyu Zhang, Zhiqiao Yang","doi":"10.1109/GEOINFORMATICS.2011.5981027","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981027","url":null,"abstract":"This paper presents a regional citrus pest forecasting and decision-making system established on Internet supported by Ontology, Expert System (ES), and Geographic Information Systems (GIS). The system adopted ontology to represent knowledge. The terrain data, weather data and pests damage information were interpreted with and merged into ontology. The expert system made a prediction about pests occurrence in a long-term or short-term period, as same as proposed some reasonable control measures. The visual results as a digital map for users were created and displayed using GIS. Purposes of the establishment of the system were to improve the regional citrus pests management, reduce environmental and economic burden, and enhance the efficiency of pests control.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129871705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A viewshed approach on identifying the street spatial outline","authors":"Ziyu Tong","doi":"10.1109/GEOINFORMATICS.2011.5981015","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981015","url":null,"abstract":"The street space plays an important role in urban fabric studies. However, it's difficult to draw continues contour line of the street space because of the gaps between the dispersed buildings, especially in China cities. The paper developed a new method to extract the street spatial outline and indentify the perceptible street space with the cumulative viewshed analysis in GIS. Through the cases study of the sample streets of seven typical cities chosen from US, Europe and China, the visibility of every pixel of the sample streets was calculated with cumulative viewshed analysis. With the threshold which was set based on the statistics analysis, the street spatial outline was extracted and the street space was identified. The results show the new method for identifying the street space is effective. The extracted street space reflected the characteristics of spatial form and presented a new concept to study urban fabric.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115001377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of groundwater level fluctuations on deformation of Baishuihe landslides, China","authors":"Xueling Wu, R. Niu","doi":"10.1109/GEOINFORMATICS.2011.5981147","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981147","url":null,"abstract":"Reservoir landslide is a severe geological hazard which is caused by hydrodynamic change due to rainfall and groundwater level fluctuations. Based on geologic environment and monitoring data of Baishuihe landslide in Three Gorges Reservoir Area of China, first of all, its hydro-geological conditions is analyzed and correlation between groundwater level and landslide deformation is testified. Secondly, landslide deformation is regarded as equation of time and groundwater level, and improved Kalman filter model is erected to predict landslide deformation by expansion the equation using Taylor series, and remainder term of Taylor series and variation of groundwater level are regarded as dynamic noises whose mathematical expectation are zero. Lastly, by calculating deformation value considering groundwater level using improved Kalman filter model based on monitoring data from monitoring points ZG118 and SZK1 of Baishuihe landslide, it shows that fitting results of landslide deformation are better.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116952645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The data management and visualization of water and sediment for two-dimensional, a case study of the lower reaches of Yellow River","authors":"Xueyong Yin, Na Li, R. Lai","doi":"10.1109/GEOINFORMATICS.2011.5980942","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980942","url":null,"abstract":"According to the lower Yellow River mathematical model features, the paper presents the water and sediment data model based on the object-oriented data modeling method. By anglicizing various data types, defining the properties and their relationship, this model can adapt to the lower Yellow River mathematical model features. Taking the river part from Huayuankou to Lijin as the experimental zone, the article has founded water and sediment mathematical model of the lower Yellow River, and realized the management analysis and visualization of the model data. The test result shows that the model can make the relationship of 2D water and sediment model data clear, and realize the data sharing management. Therefore, it can effectively reduce data storage redundancy. It's convenient to convert and input/output the data, and it can improve the visualization of scientific calculation.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117138310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Geographic information sharing based on metadata directory service","authors":"Zhenchao Wang, Manchun Li, Guirong Xiao","doi":"10.1109/GEOINFORMATICS.2011.5980752","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980752","url":null,"abstract":"The integration of heterogeneous multi-source geospatial information always has been the research focus of geographic information sharing. As an efficient tool to describe, discover and retrieve the information source, metadata is the key technology the implement the integration and sharing of information sources. Metadata directory service is to describe various information use metadata as the basic directory. The publishing, discovery, abstain, access and management of information would be realized by register various metadata information of information resource to directory service. So as to gets the purpose of information sharing. On research of the expression, collection and storage of metadata, the organization of services oriented directory information was explored, the metadata directory service model was realized. Through the organic combination of metadata and directory service, the information resource which was distributed physically can be shared logically.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117138915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extracting spatial relations from document for geographic information retrieval","authors":"Yecheng Yuan","doi":"10.1109/GEOINFORMATICS.2011.5980797","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980797","url":null,"abstract":"Geographic information retrieval (GIR) is developed to retrieve geographical information from unstructured text (commonly web documents). Previous researches focus on applying traditional information retrieval (IR) techniques to GIR, such as ranking geographic relevance by vector space model (VSM). In many cases, these keyword-based methods can not support spatial query very well. For example, searching documents on “debris flow took place in Hunan last year”, the documents selected in this way may only contain the words “debris flow” and “Hunan” rather than refer to “debris flow actually occurred in Hunan”. Lack of spatial relations between thematic activates (debris flow) and geographic entities (Hunan) is the key reason for this problem. In this paper, we present a kernel-based approach and apply it in support vector machine (SVM) to extract spatial relations from free text for further GIS service and spatial reasoning. First, we analyze the characters of spatial relation expressions in natural language and there are two types of spatial relations: topology and direction. Both of them are used to qualitatively describe the relative positions of spatial objects to each other. Then we explore the use of dependency tree (a dependency tree represents the grammatical dependencies in a sentence and it can be generated by syntax parser) to identify these spatial relations. We observe that the features required to find a relationship between two spatial named entities in the same sentence is typically captured by the shortest path between the two entities in the dependency tree. Therefore, we construct a shortest path dependency kernel for SVM to complete the task. The experiment results show that our dependency tree kernel achieves significant improvement than previous method.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117149562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}